gof.hpp File Reference

#include <randlib/continuous/gamma.hpp>
#include <randlib/continuous/kolmogorov_smirnov.hpp>
#include <randlib/math/special_functions.hpp>
#include <algorithm>
#include <cmath>
#include <concepts>
#include <limits>
#include <map>
#include <numbers>
#include <ranges>
#include <span>
#include <stdexcept>
#include <type_traits>
#include <vector>

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Classes
struct	randlib::ContinuousGoodnessOfFit
struct	randlib::DiscreteGoodnessOfFit
struct	randlib::detail::ChiSquaredBin

Namespaces
namespace	randlib
namespace	randlib::detail

Functions
double	randlib::detail::andersonDarlingCdf (double statistic)
double	randlib::detail::cvmCdfInfinite (double statistic)
double	randlib::detail::cvmEd2 (double value)
double	randlib::detail::cvmEd3 (double value)
double	randlib::detail::cvmCorrectionTerm (int k, double statistic)
double	randlib::detail::cvmCdf (double statistic, std::size_t sampleSize)
void	randlib::detail::mergeSparseBins (std::vector< ChiSquaredBin > &bins)
template<class Distribution > requires std::floating_point<typename Distribution::value_type>
ContinuousGoodnessOfFit	randlib::goodness_of_fit (const Distribution &distribution, std::span< const typename Distribution::value_type > sample)
template<class Distribution > requires std::integral<typename Distribution::value_type>
DiscreteGoodnessOfFit	randlib::goodness_of_fit (const Distribution &distribution, std::span< const typename Distribution::value_type > sample, int estimatedParameters=0)
template<class Distribution , std::ranges::contiguous_range Range> requires std::same_as<std::remove_cv_t<std::ranges::range_value_t<Range>>, typename Distribution::value_type>
auto	randlib::goodness_of_fit (const Distribution &distribution, const Range &sample)
template<class Distribution , std::ranges::contiguous_range Range> requires std::integral<typename Distribution::value_type> && std::same_as<std::remove_cv_t<std::ranges::range_value_t<Range>>, typename Distribution::value_type>
DiscreteGoodnessOfFit	randlib::goodness_of_fit (const Distribution &distribution, const Range &sample, int estimatedParameters)